Machine Learning 실습 (12)

for cat_name in cat_feature :
    dummy = pd.get_dummies(test[cat_name], prefix = cat_name)
    # 기존 X_train에 병합
    X_test = pd.concat([X_test,dummy], axis = 1)
    #  기존의 컬럼은 삭제
    X_test.drop(cat_name, axis = 1, inplace = True)

X_test.info()

 

# set 집합
set(X_train.columns) - set(X_test.columns)

 

X_test['Cabin_T'] = 0

X_test.info()
X_train.info()

 

# X_test 순서 정렬
X_test = X_test[X_train.columns]